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INTEGRATED-B-TECH-M-TECH in Computer Science And Technology at Indian Institute of Engineering Science and Technology, Shibpur
Howrah, West Bengal
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About the Specialization
What is Computer Science and Technology at Indian Institute of Engineering Science and Technology, Shibpur Howrah?
This Integrated B.Tech + M.Tech program in Computer Science and Technology at IIEST Shibpur focuses on providing a comprehensive understanding of both theoretical foundations and practical applications in computing. The curriculum delves into core areas like algorithms, data structures, operating systems, and advanced topics such as artificial intelligence, machine learning, and cybersecurity. It prepares students for the rapidly evolving digital landscape and the strong demand for skilled professionals in India''''s booming IT sector.
Who Should Apply?
This program is ideal for high-achieving high school graduates with a strong aptitude for mathematics and logical reasoning who aspire to a career in cutting-edge computing. It suits individuals seeking a deeper theoretical and practical immersion than a traditional B.Tech, including those interested in research, product development, or leadership roles in technology companies. Candidates aiming to pursue higher studies or academic careers also find this integrated approach beneficial.
Why Choose This Course?
Graduates of this program can expect diverse and rewarding career paths in India as Software Development Engineers, Data Scientists, AI/ML Engineers, Cybersecurity Analysts, and Research Scientists. Entry-level salaries typically range from INR 6-12 LPA, with experienced professionals earning significantly more (INR 15-40+ LPA). The integrated degree provides a strong foundation for rapid growth trajectories in Indian and multinational IT companies, aligning with industry demand for advanced technical expertise.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to mastering core programming languages (C/C++, Python/Java) and data structures/algorithms. Utilize online platforms for competitive programming and problem-solving. Consistent practice builds a strong base for all future CS subjects.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, LeetCode
Career Connection
Strong DSA and programming skills are non-negotiable for placements in product-based companies and tech startups, forming the backbone of technical interviews.
Build a Strong Mathematical & Logical Foundation- (Semester 1-3)
Focus intently on Discrete Mathematics, Probability, and Linear Algebra. These subjects underpin advanced CS topics like AI/ML, cryptography, and theoretical computer science. Engage in logical puzzle-solving to sharpen analytical thinking.
Tools & Resources
Khan Academy, MIT OpenCourseware lectures, NPTEL videos
Career Connection
A robust mathematical background is crucial for roles in Data Science, Machine Learning Engineering, and R&D, and for excelling in graduate-level courses.
Engage in Peer Learning and Academic Clubs- (Semester 1-2)
Form study groups to discuss complex topics, solve problems together, and prepare for exams. Actively participate in departmental academic clubs and societies to network with seniors and gain exposure to various technical domains. Mentorship from seniors is invaluable.
Tools & Resources
Departmental clubs (e.g., Programming Club, IEEE Student Chapter), WhatsApp/Discord study groups
Career Connection
Develops teamwork, communication skills, and leadership qualities essential for project management and collaborative work environments.
Intermediate Stage
Undertake Mini-Projects and Open-Source Contributions- (Semester 3-5)
Apply theoretical knowledge by developing small-scale projects in areas of interest (e.g., web development, simple AI models). Contribute to open-source projects on platforms like GitHub to gain practical coding experience and collaboration skills. This builds a strong project portfolio.
Tools & Resources
GitHub, GitLab, Kaggle, TensorFlow/PyTorch communities
Career Connection
Demonstrates practical application of skills, crucial for showcasing capabilities to recruiters during internships and placements. Provides real-world coding experience.
Seek Early Internship Opportunities- (Semester 4-6)
Look for internships during summer breaks, even if unpaid or short-term. Gaining exposure to an industry environment, understanding workflow, and learning new tools are highly beneficial. Focus on startups or smaller firms initially for hands-on learning.
Tools & Resources
LinkedIn, Internshala, Glassdoor, College placement cell
Career Connection
Internships are often a direct gateway to full-time employment, offering networking opportunities and insights into specific industry roles and company cultures.
Participate in Tech Competitions and Hackathons- (Semester 3-6)
Actively take part in coding competitions, hackathons, and technical contests organized by colleges or companies. These events hone problem-solving under pressure, introduce new technologies, and provide opportunities to work in teams and innovate.
Tools & Resources
ACM ICPC, Google Hash Code, Smart India Hackathon, Major tech company hackathons
Career Connection
Awards and participation in such events enhance resumes, signal initiative, and attract attention from recruiters looking for high-potential candidates.
Advanced Stage
Specialize and Engage in Advanced Projects/Research- (Semester 6-9)
Identify a niche area within CST (e.g., AI, Cybersecurity, Cloud Computing) and pursue advanced electives, certifications, and projects. Work on a significant research project or a thesis under faculty mentorship, showcasing deep expertise.
Tools & Resources
NPTEL Advanced Courses, Coursera/edX Specializations, Research papers, journal articles
Career Connection
Deep specialization makes you highly desirable for specific roles and provides a strong foundation for the M.Tech thesis component, leading to research-oriented careers or advanced R&D positions.
Focus on Placement Preparation and Networking- (Semester 7-10)
Intensify preparation for technical interviews, aptitude tests, and group discussions. Practice mock interviews. Network extensively with alumni, industry professionals, and faculty. Attend industry seminars and workshops to stay updated and build connections.
Tools & Resources
Online interview platforms (InterviewBit), Alumni network events, Professional associations (IEEE, ACM)
Career Connection
Directly impacts placement success. A strong network can provide referrals, mentorship, and insights into job markets and company expectations.
Develop Soft Skills and Leadership Qualities- (Semester 7-10)
Beyond technical prowess, cultivate effective communication, critical thinking, problem-solving, and leadership skills. Take on leadership roles in student bodies, projects, or events. These are crucial for career progression in any industry.
Tools & Resources
Toastmasters International, College workshops on soft skills, Public speaking clubs
Career Connection
Top companies value well-rounded individuals. Strong soft skills facilitate teamwork, client interaction, and rapid career advancement into managerial or lead engineering roles.
Program Structure and Curriculum
Eligibility:
- 10+2 (PCM) with minimum aggregate marks (as per JoSAA/CSAB norms) and a valid JEE Main score, followed by JoSAA/CSAB counseling.
Duration: 5 years / 10 semesters
Credits: 182 Credits
Assessment: Internal: 30-50%, External: 50-70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA 1101 | Mathematics – I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Laplace Transform, Series Solution of Differential Equations |
| PH 1101 | Physics – I | Core | 3 | Mechanics, Oscillations and Waves, Optics, Electromagnetism, Modern Physics |
| PH 1102 | Physics – I Laboratory | Lab | 1 | Error Analysis, Experiments on Mechanics, Optics, Electricity, Modern Physics |
| EE 1101 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Three-Phase Systems, Magnetic Circuits, Electrical Machines |
| EE 1102 | Basic Electrical Engineering Laboratory | Lab | 1 | Verification of Circuit Laws, Measurement of Electrical Parameters, Characteristics of Devices, AC Circuit Analysis, Power Measurements |
| CH 1101 | Chemistry – I | Core | 3 | Atomic Structure, Chemical Bonding, Thermodynamics, Electrochemistry, Reaction Kinetics |
| CH 1102 | Chemistry – I Laboratory | Lab | 1 | Volumetric Analysis, Gravimetric Analysis, pH Metry, Conductometry, Synthesis |
| HM 1101 | English for Professional Communication | Core | 2 | Communication Theory, Written Communication, Oral Communication, Group Discussion, Presentation Skills |
| ME 1101 | Engineering Graphics | Core | 2 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, AutoCAD Basics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA 1201 | Mathematics – II | Core | 4 | Vector Calculus, Matrices, Partial Differential Equations, Complex Analysis, Probability and Statistics |
| CS 1201 | Programming & Data Structure | Core | 3 | C Programming Basics, Pointers, Arrays, Strings, Data Structures (Stacks, Queues, Linked Lists), Trees and Graphs Basics, Searching & Sorting |
| CS 1202 | Programming & Data Structure Laboratory | Lab | 1 | C Program Implementation, Array and String Operations, Linked List Operations, Stack/Queue Implementation, Sorting and Searching Algorithms |
| ME 1201 | Engineering Mechanics | Core | 3 | Statics of Particles, Equilibrium of Rigid Bodies, Friction, Virtual Work, Dynamics of Particles |
| ME 1202 | Workshop Practice | Lab | 1 | Carpentry, Fitting, Welding, Machining, Foundry |
| EC 1201 | Basic Electronics | Core | 3 | Semiconductor Diodes, Transistors, Rectifiers, Amplifiers, Digital Logic Gates |
| EC 1202 | Basic Electronics Laboratory | Lab | 1 | Diode Characteristics, Transistor Characteristics, Rectifier Circuits, Amplifier Circuits, Logic Gate Implementation |
| EV 1201 | Environmental Science | Core | 2 | Ecosystems, Pollution, Natural Resources, Biodiversity, Environmental Management |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA 2101 | Discrete Mathematics | Core | 4 | Logic and Proofs, Set Theory, Relations and Functions, Graph Theory, Combinatorics, Algebraic Structures |
| CS 2101 | Object Oriented Programming | Core | 3 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Abstract Classes and Interfaces, Exception Handling, GUI Basics (Java/C++) |
| CS 2102 | Object Oriented Programming Laboratory | Lab | 1 | Class and Object Implementation, Inheritance and Polymorphism Examples, Exception Handling Programs, GUI Programming Basics, File I/O in OOP |
| CS 2103 | Digital Logic Design | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Memories and PLDs |
| CS 2104 | Digital Logic Design Laboratory | Lab | 1 | Logic Gate Verification, Adder/Subtractor Design, Multiplexer/Demultiplexer Design, Flip-Flop and Counter Implementation, K-Map Simplification |
| EC 2103 | Analog Electronic Circuits | Core | 3 | BJTs and FETs, Operational Amplifiers, Feedback Amplifiers, Oscillators, Power Amplifiers |
| EC 2104 | Analog Electronic Circuits Laboratory | Lab | 1 | BJT Amplifier Characteristics, Op-Amp Circuits, Oscillator Circuits, Filter Design, Voltage Regulators |
| HU 2101 | Economics for Engineers | Core | 3 | Microeconomics, Macroeconomics, Market Structures, Cost Analysis, Project Evaluation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA 2201 | Probability and Statistical Methods | Core | 4 | Probability Theory, Random Variables and Distributions, Sampling Distributions, Hypothesis Testing, Regression and Correlation Analysis |
| CS 2201 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| CS 2202 | Design and Analysis of Algorithms Laboratory | Lab | 1 | Sorting Algorithms Implementation, Graph Traversal Algorithms, Shortest Path Algorithms, Minimum Spanning Tree Algorithms, Dynamic Programming Problems |
| CS 2203 | Computer Organization and Architecture | Core | 3 | CPU Structure and Function, Memory Hierarchy, I/O Organization, Instruction Sets, Pipelining and Parallel Processing |
| CS 2204 | Computer Organization and Architecture Laboratory | Lab | 1 | Assembly Language Programming, Register Transfer Language Simulation, Cache Memory Simulation, I/O Programming Concepts, Basic Processor Design |
| CS 2205 | Database Management Systems | Core | 3 | Relational Model and Algebra, SQL Query Language, ER Diagrams and Database Design, Normalization, Transaction Management and Concurrency Control |
| CS 2206 | Database Management Systems Laboratory | Lab | 1 | SQL Queries and Joins, Database Design and Implementation, ER Model Implementation, Transaction Management Examples, Stored Procedures and Triggers |
| HU 2201 | Organizational Behavior | Core | 3 | Individual Behavior, Group Dynamics, Leadership and Motivation, Organizational Culture and Structure, Conflict Management |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS 3101 | Operating Systems | Core | 3 | Process Management and Scheduling, Memory Management, File Systems, I/O Systems, Concurrency and Deadlocks |
| CS 3102 | Operating Systems Laboratory | Lab | 1 | Shell Scripting, Process Synchronization Problems, Memory Allocation Algorithms, File System Operations, System Calls |
| CS 3103 | Formal Languages and Automata Theory | Core | 3 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines and Computability |
| CS 3105 | Microprocessors and Microcontrollers | Core | 3 | 8085/8086 Architecture, Instruction Set and Programming, Memory Interfacing, I/O Interfacing, Microcontroller Basics (e.g., 8051) |
| CS 3106 | Microprocessors and Microcontrollers Laboratory | Lab | 1 | Assembly Language Programming, Interfacing Peripherals (LED, LCD), Timer/Counter Programming, Interrupt Handling, Data Transfer Operations |
| CS 3107 | Computer Networks | Core | 3 | OSI and TCP/IP Models, Network Topologies and Devices, Routing Algorithms, Transport Layer Protocols (TCP/UDP), Network Security Basics |
| CS 3108 | Computer Networks Laboratory | Lab | 1 | Socket Programming, Network Configuration Commands, Packet Analysis with Wireshark, Client-Server Communication, Network Traffic Monitoring |
| PE-I | Program Elective - I (e.g., Web Technology) | Elective | 3 | HTML, CSS, JavaScript, Client-Side Scripting, Server-Side Scripting (PHP/Python), Database Connectivity, Web Security Basics |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS 3201 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| CS 3202 | Compiler Design Laboratory | Lab | 1 | Lexical Analyzer Implementation (Lex), Parser Implementation (Yacc), Symbol Table Management, Intermediate Code Generation, Simple Code Generation |
| CS 3203 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing, Software Project Management |
| CS 3204 | Software Engineering Laboratory | Lab | 1 | SRS Document Preparation, UML Diagrams, Test Case Generation, Version Control Systems (Git), Project Documentation |
| CS 3205 | Cryptography and Network Security | Core | 3 | Symmetric Key Cryptography, Asymmetric Key Cryptography, Hashing and Digital Signatures, Authentication Protocols, Network Security Protocols (SSL/TLS, IPSec) |
| CS 3207 | Image Processing | Core | 3 | Image Fundamentals, Image Enhancement, Image Restoration, Image Segmentation, Image Compression |
| CS 3209 | Image Processing Laboratory | Lab | 1 | Image Manipulation using MATLAB/Python, Filtering and Smoothing, Edge Detection, Morphological Operations, Image Transformations |
| PE-II | Program Elective - II (e.g., Distributed Systems) | Elective | 3 | Client-Server Model, Interprocess Communication, Distributed File Systems, Concurrency Control, Fault Tolerance |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| OE-I | Open Elective - I | Elective | 3 | Diverse topics from other engineering or humanities disciplines chosen by student |
| PE-III | Program Elective - III (e.g., Data Warehousing & Data Mining) | Elective | 3 | Data Warehouse Architecture, OLAP and OLTP, Data Preprocessing, Association Rule Mining, Classification and Clustering |
| PE-IV | Program Elective - IV (e.g., Computer Graphics & Multimedia) | Elective | 3 | 2D/3D Transformations, Projections and Viewing, Shading and Rendering, Animation Techniques, Multimedia Data Formats |
| CS 4191 | Project – I | Project | 6 | Problem Definition, Literature Review, System Design and Architecture, Implementation Plan, Project Report Writing |
| CS 4193 | Industrial Training / Internship | Training | 3 | Practical Industry Experience, Professional Skill Development, Project Implementation in real-world setting, Report Submission, Presentation of Work |
| CS 4195 | Comprehensive Viva | Core | 2 | Overall Understanding of Core Subjects, Technical Communication Skills, Problem Solving Approach, Current Technology Trends, Career Preparedness |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| OE-II | Open Elective - II | Elective | 3 | Diverse topics from other engineering or humanities disciplines chosen by student |
| PE-V | Program Elective - V (e.g., Big Data Analytics) | Elective | 3 | Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, Data Stream Processing, NoSQL Databases, Big Data Visualization |
| CS 4291 | Project – II | Project | 6 | Advanced System Design and Implementation, Extensive Testing and Evaluation, Performance Optimization, Thesis/Report Writing, Project Defense and Presentation |
Semester 9
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS 5101 | Advanced Algorithms | Core | 4 | Amortized Analysis, Randomized Algorithms, Approximation Algorithms, Parallel Algorithms, Computational Geometry |
| CS 5103 | Advanced Computer Architecture | Core | 4 | Parallel Processors, Multicore Architectures, Memory Architectures, GPU Architecture, Interconnection Networks |
| CS 5105 | Research Methodology | Core | 3 | Research Design, Data Collection and Analysis, Statistical Methods for Research, Report Writing and Publication Ethics, Literature Review Techniques |
| M.Tech PE-I | M.Tech Program Elective - I (e.g., Machine Learning) | Elective | 3 | Supervised Learning, Unsupervised Learning, Neural Networks, Ensemble Methods, Model Evaluation and Hyperparameter Tuning |
| M.Tech PE-II | M.Tech Program Elective - II (e.g., Computer Vision) | Elective | 3 | Image Formation, Feature Detection and Extraction, Object Recognition, Motion Analysis, 3D Vision |
| CS 5191 | Minor Project | Project | 3 | Problem Identification, Literature Survey, System Design, Prototype Development, Project Report and Presentation |
Semester 10
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS 5291 | Major Project / Thesis | Project | 18 | In-depth Research and Problem Formulation, Extensive System Development and Implementation, Performance Evaluation and Analysis, Thesis Writing and Documentation, Oral Defense and Presentation of Research |
